code: def test_executable_batch_size_with_error(self):
      @find_executable_batch_size(
          starting_batch_size=64, auto_find_batch_size=False
      )
      def mock_training_loop_function(batch_size):
          raise RuntimeError("CUDA out of memory.")
  
      with self.assertRaises(RuntimeError) as cm:
          mock_training_loop_function()
          self.assertEqual("CUDA out of memory", cm.args[0])
  
imports: import copy
  import unittest
  import numpy
  from transformers.data.data_collator import default_data_collator
  from transformers.testing_utils import require_accelerate, require_torch
  from transformers.trainer_utils import RemoveColumnsCollator, find_executable_batch_size
  from transformers.utils import is_torch_available
label_desc: Use image node_id 18 for calling the TrainerUtilsTest obj's underlying member method code with example usage: obj.test_executable_batch_size_with_error() without return types